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Generative AI systems have entered everyday academic, professional, and personal life with remarkable speed, yet most users encounter them as mysterious artifacts rather than intelligible systems. This chapter discusses large language…

计算机与社会 · 计算机科学 2026-04-21 John T. Behrens

Image content safety has become a significant challenge with the rise of visual media on online platforms. Meanwhile, in the age of AI-generated content (AIGC), many image generation models are capable of producing harmful content, such as…

To effectively engage in human society, the ability to adapt, filter information, and make informed decisions in ever-changing situations is critical. As robots and intelligent agents become more integrated into human life, there is a…

Cultural heritage applications and advanced machine learning models are creating a fruitful synergy to provide effective and accessible ways of interacting with artworks. Smart audio-guides, personalized art-related content and gamification…

计算机视觉与模式识别 · 计算机科学 2024-08-20 Dario Cioni , Lorenzo Berlincioni , Federico Becattini , Alberto del Bimbo

Generative AI (GenAI), which aims to synthesize realistic and diverse data samples from latent variables or other data modalities, has achieved remarkable results in various domains, such as natural language, images, audio, and graphs.…

机器学习 · 计算机科学 2024-08-02 Shiji Zhou , Lianzhe Wang , Jiangnan Ye , Yongliang Wu , Heng Chang

In recent times, large language models (LLMs) have made significant strides in generating computer code, blurring the lines between code created by humans and code produced by artificial intelligence (AI). As these technologies evolve…

机器学习 · 计算机科学 2024-07-04 Marc Oedingen , Raphael C. Engelhardt , Robin Denz , Maximilian Hammer , Wolfgang Konen

Modern language model-based AI systems are remarkably powerful, yet their capabilities remain fundamentally capped by their human creators in three key ways. First, although a model's weights can be updated via fine-tuning, acquiring new…

人工智能 · 计算机科学 2026-03-20 Zitong Yang

The advent of large language models marks a revolutionary breakthrough in artificial intelligence. With the unprecedented scale of training and model parameters, the capability of large language models has been dramatically improved,…

Atomizing various Web activities by replacing human to human interactions on the Internet has been made indispensable due to its enormous growth. However, bots also known as Web-bots which have a malicious intend and pretending to be humans…

密码学与安全 · 计算机科学 2011-12-26 M. Tariq Banday , N. A. Shah

Artificial intelligence has been around for a while, but suddenly it has received more attention than ever before. Thanks to innovations from companies like Google, Microsoft, Meta, and other major brands in technology. OpenAI, though, has…

计算机与社会 · 计算机科学 2024-03-26 Md. Asraful Haque , Shuai Li

A long-standing vision of computing is the personal AI system: one that understands us well enough to address our underlying needs. Today's AI focuses on what users do, ignoring why they might be doing such things in the first place. As a…

人机交互 · 计算机科学 2026-04-10 Dora Zhao , Michelle S. Lam , Diyi Yang , Michael S. Bernstein

As large language models (LLMs) advance, ensuring AI safety and alignment is paramount. One popular approach is prompt guards, lightweight mechanisms designed to filter malicious queries while being easy to implement and update. In this…

机器学习 · 计算机科学 2025-10-08 Jaiden Fairoze , Sanjam Garg , Keewoo Lee , Mingyuan Wang

Despite the transformative impact of Artificial Intelligence (AI) across various sectors, cyber security continues to rely on traditional static and dynamic analysis tools, hampered by high false positive rates and superficial code…

密码学与安全 · 计算机科学 2025-04-28 Rajesh Yarra

Evaluating AI systems that interact with humans requires understanding their behavior across diverse user populations, but collecting representative human data is often expensive or infeasible, particularly for novel technologies or…

Turing test was originally proposed to examine whether machine's behavior is indistinguishable from a human. The most popular and practical Turing test is CAPTCHA, which is to discriminate algorithm from human by offering recognition-alike…

计算机视觉与模式识别 · 计算机科学 2019-04-23 Jiaming Zhang , Jitao Sang , Kaiyuan Xu , Shangxi Wu , Yongli Hu , Yanfeng Sun , Jian Yu

Recent breakthroughs in generative artificial intelligence (AI) and large language models (LLMs) unravel new capabilities for AI personal assistants to overcome cognitive bandwidth limitations of humans, providing decision support or even…

人工智能 · 计算机科学 2026-02-10 Srijoni Majumdar , Edith Elkind , Evangelos Pournaras

Modern text-to-image generative models can inadvertently reproduce copyrighted content memorized in their training data, raising serious concerns about potential copyright infringement. We introduce Guardians of Generation, a model agnostic…

计算机视觉与模式识别 · 计算机科学 2025-03-21 Soham Roy , Abhishek Mishra , Shirish Karande , Murari Mandal

Recent advances in Generative AI (GenAI) have led to significant improvements in the quality of generated visual content. As AI-generated visual content becomes increasingly indistinguishable from real content, the challenge of detecting…

计算机视觉与模式识别 · 计算机科学 2025-07-18 Keerthi Veeramachaneni , Praveen Tirupattur , Amrit Singh Bedi , Mubarak Shah

Chatbots are intelligent conversational computer systems designed to mimic human conversation to enable automated online guidance and support. The increased benefits of chatbots led to their wide adoption by many industries in order to…

计算与语言 · 计算机科学 2022-01-19 Guendalina Caldarini , Sardar Jaf , Kenneth McGarry

Online questionnaires that use crowd-sourcing platforms to recruit participants have become commonplace, due to their ease of use and low costs. Artificial Intelligence (AI) based Large Language Models (LLM) have made it easy for bad actors…

人机交互 · 计算机科学 2024-02-02 Benjamin Lebrun , Sharon Temtsin , Andrew Vonasch , Christoph Bartneck